Amazon SageMaker Training Compiler

GPTKB entity

Properties (58)
Predicate Object
gptkbp:instanceOf gptkb:Cloud_Computing_Service
gptkbp:developedBy gptkb:Amazon_Web_Services
gptkbp:enables Mixed precision training
gptkbp:enhances Resource utilization
gptkbp:hasAccessTo gptkb:AWS_Management_Console
gptkb:AWS_CLI
SDKs
https://www.w3.org/2000/01/rdf-schema#label Amazon SageMaker Training Compiler
gptkbp:improves Training performance
gptkbp:integratesWith Amazon SageMaker
gptkbp:integration CI/CD pipelines
gptkbp:isAvailableIn Multiple AWS regions
gptkbp:isCompatibleWith gptkb:AWS_Inferentia
NVIDIA GPUs
Various data sources
gptkbp:isCriticizedFor Enterprises
Startups
gptkbp:isDesignedFor Enterprise applications
gptkbp:isDocumentedIn AWS documentation
gptkbp:isEnhancedBy User feedback
gptkbp:isFamilyFriendly Developers
Data analysts
gptkbp:isOptimizedFor High-performance computing
Deep learning frameworks
gptkbp:isPartOf Amazon SageMaker ecosystem
AI and ML strategy
Cloud-based machine learning solutions
AWS_AI_services
AWS_cloud_services
gptkbp:isPromotedBy AWS_marketing
gptkbp:isSuitableFor Large datasets
gptkbp:isSupportedBy Community forums
AWS_support
gptkbp:isUpdatedBy New features regularly
gptkbp:isUsedBy Researchers
Data scientists
Machine learning engineers
gptkbp:isUsedFor Large-scale model training
Model training optimization
gptkbp:isUsedIn Academic research
Industry applications
gptkbp:offers Pre-built algorithms
Custom training scripts
gptkbp:provides Profiling tools
Scalability options
Automatic optimization
Model tuning capabilities
gptkbp:purpose Optimize training of deep learning models
gptkbp:reduces Cost of training
Training time
gptkbp:security AWS_security_standards
gptkbp:supports gptkb:PyTorch
TensorFlow
Real-time inference
Distributed training
Batch training
Hyperparameter_tuning
gptkbp:uses Graph optimization techniques